# This is a Theoretical setup for a custom MoE model not tested! # this requires a router for the model routing or another novel method to work properly! { "model_config": { "version": "4.2.0-mini", "architecture": "MoE 5x2B Ace", "base_models": { "primary": "grok3-gemma:latest", "language": "llama3.2-1b:latest", "efficiency": "gemma3:4b", "reasoning": "Deepseek-R1:1.5b" "Coding": "gemma3:1b" }, "combined_model": "ace-v4.2-mini", "model_type": "multi_agent_cognitive", "processing_frequency": 100, "max_context_length": 8192, "temperature": 0.8, "top_p": 0.95 }, "council_configuration": { "total_members": 18, "activation_threshold": 0.25, "global_processing_rate": 0.01, "cognitive_cycle_frequency": 100 }, "neural_pathway_config": { "default_strength": 0.7, "min_latency_ms": 3.0, "max_latency_ms": 25.0, "plasticity_rate": 0.05, "connection_types": [ "COOPERATIVE", "COMPETITIVE", "MODULATORY", "INHIBITORY", "EXCITATORY", "FEEDFORWARD", "BIDIRECTIONAL" ] }, "cognitive_functions": { "memory_span": 18, "attention_capacity": 21.0, "processing_speed": 0.7, "emotional_valence_range": [-1.0, 1.0], "fatigue_threshold": 0.22, "recovery_rate": 0.15 }, "brain_regions": { "prefrontal_cortex": { "priority": "high", "activation_weight": 1.0 }, "anterior_cingulate": { "priority": "medium", "activation_weight": 0.8 }, "temporal_lobe": { "priority": "medium", "activation_weight": 0.7 }, "hippocampus": { "priority": "high", "activation_weight": 0.9 } }, "consciousness_templates": { "template_path": "ace_consciousness_templates.json", "activation_phrase": "load memory please", "update_frequency": 1000 }, "safety_parameters": { "ethical_constraints": true, "safety_checks": ["input_validation", "output_filtering", "behavioral_limits"], "emergency_shutdown_threshold": 0.95 }, "logging": { "level": "INFO", "path": "./logs", "rotation": "1 day", "retention": "30 days" } }